Data Scientist Renewable Energy Modelling

Vaisala

Job Location:

Harpenden - UK

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

We are looking for an analytical and proactive Data Scientist - Renewable Energy Modelling to join our Vaisala Xweather team specialised in Finance and Insurance. This position is central to our market operations focusing on the creation and maintenance of high-performance predictive models for renewable energy generation and power demand.

Location: Harpenden UK

Company background

Vaisala is a global leader in measurement instruments and intelligence helping industries nations people and the planet to thrive. From predicting hurricanes to optimizing renewable energy production our technology is used where it matters the most from data centers windfarms and laboratories to airports the Arctic and even the surface of Mars. Vaisala is recognized in TIME Magazines Worlds Best Companies in Sustainable Growth 2025 study. Our team of over 2400 experts and 59 nationalities around the world is committed to taking every measure for the planet. Driven by our shared purpose curiosity and pioneering spirit we stay ahead and make a difference. At Vaisala you dont have to fit in to belong.

Why join us

Drive real-world impact by applying machine learning to solve complex time-series and structured data challenges that support energy transition climate resilience and sustainability.

Collaborate across disciplines with scientists engineers designers and commercial experts to turn data into actionable insights in a fast-growing purpose-driven product environment.

Shape the future of data science applied to the energy space at Xweather where innovation meets missionhelping build smarter safer solutions for a changing world.

What will you do

As the Data Scientist - Renewable Energy Modelling you will help in advancing our applied machine learning capabilities. You will focus on exploring and developing new features testing a variety of modeling approaches and supporting innovation in how we use supervised learning for complex time-series and structured data challenges. You will report to the Powerup product owner.

Key Responsibilities:

Develop improve and automate wind and solar power production indices ensuring high accuracy and reliability.
Develop and improve energy demand indices.
Experiment with a range of modeling techniques to evaluate performance.

Explore methods to support both deterministic and statistical approaches to prediction.

Collaborate with software developers to integrate promising approaches into larger workflows.
Automate clients data cleaning techniques used as an input to ML models.

What will you bring:

Fundamental knowledge of energy markets and renewable energy generation and demand modeling
Knowledge of meteorological datasets
Hands-on experience with machine learning libraries (scikit-learn XGBoost PyTorch TensorFlow or similar).

Strong skills in feature engineering for time-series or structured datasets.

Familiarity with statistical and ensemble methods.

Proficiency in Python with strong analytical and data manipulation skills.
A solid knowledge of software development ideally in C#
Excellent communication skills for liaising with internal teams and external stakeholders

Nice to Have Skills

While the core modeling is in Python the candidate will need to integrate their Python models/APIs with existing C#/.Net applications and use C# for all backend and frontend development.

Please note all applicants must have the legal right to work in the UK. We are unable to sponsor visas for this role.

Ready to take every measure for the planetApply at the latest on April 6th 2026 via the application form.

Required Experience:

We are looking for an analytical and proactive Data Scientist - Renewable Energy Modelling to join our Vaisala Xweather team specialised in Finance and Insurance. This position is central to our market operations focusing on the creation and maintenance of high-performance predictive models for rene...